Title :
MLFMA memory reduction techniques for solving large-scale problems
Author :
Hidayetoglu, Mert ; Gurel, Levent
Author_Institution :
Bilkent Univ. Comput. Electromagn. Res. Center (BiLCEM), Ankara, Turkey
Abstract :
We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of these methods uses data structures out of core, and the other parallelizes the data structures related to input geometry. With these methods, large-scale electromagnetic scattering problems can be solved on modest parallel computers.
Keywords :
computational geometry; data structures; electrical engineering computing; electromagnetic wave scattering; iterative methods; parallel algorithms; storage management; MLFMA memory reduction techniques; data structures out-of-core; input geometry; large-scale electromagnetic scattering problems; parallel computers; parallel multilevel fast multipole algorithm; Computational electromagnetics; Data structures; Disk drives; Electromagnetic scattering; Geometry; MLFMA; Memory management;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
Print_ISBN :
978-1-4799-3538-3
DOI :
10.1109/APS.2014.6904704
